Noda Mitsuaki, Takahara Shunsuke, Hayashi Shinya, Inui Atsuyuki, Oe Keisuke, Osawa Shin, Matsushita Takehiko
Department of Orthopaedics, Himeji Central Hospital, Himeji, JPN.
Department of Orthopaedics, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, JPN.
Cureus. 2024 Oct 22;16(10):e72159. doi: 10.7759/cureus.72159. eCollection 2024 Oct.
Introduction Suboptimal outcomes were observed in cases of unstable pertrochanteric fractures, even when bone healing occurs without complications. This raises the question of whether factors beyond bone health integrity, such as the frailty of muscles, contribute to these less favorable results. Muscles, particularly the gluteal muscles, not only influence functional ability but also serve as a cushion that provides physical protection against external forces during falls. When gluteal muscles are thin or weak, their ability to absorb the impact from a fall diminishes, potentially leading to unstable fractures. In this study, we compared gluteal muscle-related indices, including cross-sectional area (CSA) and muscle density, between stable and unstable pertrochanteric fractures. The aim of this study was to employ a retrospective approach to investigate the causes of unstable fractures, with a focus on potential muscular pathology. It was hypothesized that reduced CSA and lower density of the gluteal muscles would be associated with unstable fractures. Material and methods Geriatric patients aged 70 years or older with pertrochanteric fractures requiring surgical intervention were retrospectively identified from databases. These fractures classified as stable (A1) or unstable (A2) based on the Revised Arbeitsgemeinschaft für Osteosynthesefragen (AO)/Orthopaedic Trauma Association (OTA) Classification were compared based on demographic variables (age, height, body mass index (BMI), and fracture laterality) as well as muscle-related indices. A multivariate logistic regression model was employed to identify predictors of unstable fractures. Independent variables included age at the time of surgery, height, BMI, and muscular metrics CSA and density of the gluteus maximus and gluteus medius. Results Out of 220 patients identified from the database, 111 patients with an average age of 88 years (ranging from 71 to 103 years) were included. This cohort consisted of 40 patients with stable fractures (A1) and 71 patients with unstable fractures (A2). Among the demographical data, only fracture laterality demonstrated a significant difference between the groups (p < 0.05). Regarding gluteal muscle data, the CSA/BMI of both the gluteus maximus and medius, as well as the density of the gluteus medius, did not show significant differences between the two groups. The only exception was the density of the gluteus maximus, which was significantly lower in the unstable group (p < 0.01). A binary logistic regression analysis was conducted to identify risk factors for unstable fractures. The analysis found that the density of the gluteus maximus was a statistically significant predictor, with an odds ratio of 0.959 (95% CI, 0.923 to 0.997; p = 0.03). To determine an optimal cut-off value, receiver operating characteristic (ROC) analysis was performed for the density of the gluteus maximus. The Youden index identified a cut-off value of 20.8 HU for the gluteus maximus density as the optimal threshold (area under the curve (AUC): 0.625; 95% CI: 0.520-0.730). Conclusion This retrospective study investigated whether unstable pertrochanteric fractures in elderly female patients were linked to weakened gluteal muscles, compared to stable fractures, and suggested this muscle weakness may contribute to poor functional outcomes. Our binary regression analysis indicated that decreased muscle density in the gluteus maximus increases the risk of unstable fractures.
引言 在不稳定型股骨转子间骨折病例中,即便骨折愈合且无并发症,仍观察到欠佳的治疗结果。这就引发了一个问题,即除了骨骼健康完整性之外的因素,比如肌肉的衰弱,是否会导致这些不太理想的结果。肌肉,尤其是臀肌,不仅影响功能能力,还起到缓冲作用,在跌倒时提供对外力的物理保护。当臀肌变薄或变弱时,其吸收跌倒冲击力的能力就会下降,有可能导致不稳定骨折。在本研究中,我们比较了稳定型和不稳定型股骨转子间骨折患者的臀肌相关指标,包括横截面积(CSA)和肌肉密度。本研究的目的是采用回顾性研究方法来探究不稳定骨折的成因,重点关注潜在的肌肉病变。研究假设是臀肌CSA减小和密度降低与不稳定骨折有关。
材料与方法 从数据库中回顾性识别出70岁及以上需要手术干预的股骨转子间骨折老年患者。根据修订后的AO/骨科创伤协会(OTA)分类将这些骨折分为稳定型(A1)或不稳定型(A2),并基于人口统计学变量(年龄、身高、体重指数(BMI)和骨折侧别)以及肌肉相关指标进行比较。采用多因素逻辑回归模型来识别不稳定骨折的预测因素。自变量包括手术时年龄、身高、BMI以及臀大肌和臀中肌的肌肉指标CSA和密度。
结果 从数据库中识别出的220例患者中,纳入了111例平均年龄为88岁(范围为71至103岁)的患者。该队列包括40例稳定骨折(A1)患者和71例不稳定骨折(A2)患者。在人口统计学数据中,只有骨折侧别在两组之间存在显著差异(p < 0.05)。关于臀肌数据,臀大肌和臀中肌的CSA/BMI以及臀中肌的密度在两组之间未显示出显著差异。唯一的例外是臀大肌的密度,在不稳定组中显著较低(p < 0.01)。进行二元逻辑回归分析以识别不稳定骨折的危险因素。分析发现臀大肌密度是具有统计学意义的预测因素,优势比为0.959(95%置信区间,0.923至0.997;p =